Delete App.py

App.py

@@ -1,247 +0,0 @@
-import os
-import sys
-import subprocess
-import importlib
-import warnings
-from pathlib import Path
-
-# Suppress warnings
-warnings.filterwarnings("ignore")
-
-# Set environment variables
-os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
-os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
-os.environ["PYTHONWARNINGS"] = "ignore"
-
-# Monkey patch HfFolder before any imports
-class MockHfFolder:
-    @staticmethod
-    def get_token():
-        return os.environ.get("HF_TOKEN", "")
-    @staticmethod
-    def save_token(token):
-        os.environ["HF_TOKEN"] = token
-
-# Patch it into sys.modules BEFORE importing anything
-sys.modules['huggingface_hub'] = type(sys)('huggingface_hub')
-sys.modules['huggingface_hub'].HfFolder = MockHfFolder
-
-print("Starting Advanced Live Portrait setup...")
-
-# Change to /tmp for workspace
-workspace = Path("/tmp/AdvancedLivePortrait")
-workspace.mkdir(exist_ok=True)
-os.chdir(workspace)
-
-# Clone repository if not exists
-if not (workspace / ".git").exists():
-    print("Cloning repository...")
-    subprocess.run(["git", "clone", "https://github.com/Ayeeee45/AdvancedLivePortrait-WebUI.git", "."], 
-                   check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
-else:
-    print("Repository already exists, pulling updates...")
-    subprocess.run(["git", "pull"], check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
-
-print("Installing dependencies...")
-
-# Install base dependencies first
-base_packages = [
-    "gradio==3.41.1",
-    "huggingface-hub==0.19.4",
-    "numpy==1.24.4",
-    "pillow==10.1.0",
-    "opencv-python-headless==4.8.1.78",
-    "ffmpeg-python==0.2.0",
-    "moviepy==1.0.3",
-    "tqdm==4.66.1",
-]
-
-for package in base_packages:
-    subprocess.run([sys.executable, "-m", "pip", "install", "-q", package], 
-                   check=False)
-
-# Check for CUDA and install appropriate torch
-try:
-    import torch
-    print(f"Torch already installed: {torch.__version__}")
-    if torch.cuda.is_available():
-        print(f"CUDA available: {torch.version.cuda}")
-except:
-    print("Installing PyTorch...")
-    subprocess.run([sys.executable, "-m", "pip", "install", "-q",
-                   "torch==2.1.0", "torchvision==0.16.0", "torchaudio==2.1.0",
-                   "--index-url", "https://download.pytorch.org/whl/cu118"], 
-                   check=False)
-
-# Install from requirements.txt if exists
-if os.path.exists("requirements.txt"):
-    print("Installing from requirements.txt...")
-    subprocess.run([sys.executable, "-m", "pip", "install", "-q", "-r", "requirements.txt"], 
-                   check=False)
-
-# Install additional commonly needed packages
-additional_packages = [
-    "scipy==1.11.4",
-    "scikit-image==0.22.0",
-    "pyyaml==6.0.1",
-    "insightface==0.7.3",
-    "gfpgan==1.3.8",
-    "realesrgan==0.3.0",
-    "basicsr==1.4.2",
-    "facexlib==0.3.0",
-    "einops==0.7.0",
-]
-
-for package in additional_packages:
-    subprocess.run([sys.executable, "-m", "pip", "install", "-q", package], 
-                   check=False)
-
-print("Setup complete!")
-
-# Now create the interface
-import gradio as gr
-import cv2
-import numpy as np
-from PIL import Image
-import tempfile
-import time
-
-def create_demo_interface():
-    """Create a demo interface for the Space"""
-    
-    def process_demo(image, audio=None):
-        """Demo processing function"""
-        if image is None:
-            return None, "Please upload an image"
-        
-        # Convert to numpy
-        img_array = np.array(image)
-        
-        # Create a simple "processing" effect (just flip image for demo)
-        processed = cv2.flip(img_array, 1)
-        
-        # Save as video placeholder
-        height, width = processed.shape[:2]
-        fps = 30
-        seconds = 3
-        
-        # Create temp video file
-        temp_video = tempfile.NamedTemporaryFile(suffix='.mp4', delete=False).name
-        
-        # Create video writer
-        fourcc = cv2.VideoWriter_fourcc(*'mp4v')
-        out = cv2.VideoWriter(temp_video, fourcc, fps, (width, height))
-        
-        # Write frames
-        for i in range(fps * seconds):
-            # Create slight variation for each frame
-            frame = processed.copy()
-            if i % 10 == 0:
-                frame = cv2.flip(frame, 0)
-            out.write(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
-        
-        out.release()
-        
-        return temp_video, "Demo complete! For full functionality, run locally."
-    
-    # Create interface
-    with gr.Blocks(title="Advanced Live Portrait", theme=gr.themes.Soft()) as demo:
-        gr.Markdown("""
-        # 🎬 Advanced Live Portrait WebUI
-        
-        **Create animated portraits from images and audio**
-        
-        *Note: This is a demo version. Full functionality requires local installation due to model size constraints.*
-        """)
-        
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown("### 📤 Input")
-                image_input = gr.Image(
-                    label="Source Face Image",
-                    type="pil",
-                    height=300
-                )
-                audio_input = gr.Audio(
-                    label="Driving Audio (Optional)",
-                    type="filepath",
-                    visible=False  # Hide for demo
-                )
-                
-                with gr.Row():
-                    generate_btn = gr.Button("🚀 Generate Demo", variant="primary")
-                    clear_btn = gr.Button("🗑️ Clear")
-                
-                gr.Markdown("""
-                ### 💡 Tips for Best Results:
-                - Use clear frontal face photos
-                - Good lighting works best
-                - Neutral expression recommended
-                """)
-            
-            with gr.Column(scale=2):
-                gr.Markdown("### 📤 Output")
-                output_video = gr.Video(
-                    label="Animated Result",
-                    height=400
-                )
-                status = gr.Textbox(
-                    label="Status",
-                    value="Ready to generate demo...",
-                    interactive=False
-                )
-                
-                gr.Markdown("""
-                ### 📚 Full Installation Instructions:
-                ```bash
-                # 1. Clone repository
-                git clone https://github.com/Ayeeee45/AdvancedLivePortrait-WebUI.git
-                cd AdvancedLivePortrait-WebUI
-                
-                # 2. Install dependencies
-                pip install -r requirements.txt
-                
-                # 3. Download models (see GitHub for links)
-                # 4. Run the application
-                python webui.py
-                ```
-                """)
-        
-        # Button actions
-        generate_btn.click(
-            fn=process_demo,
-            inputs=[image_input],
-            outputs=[output_video, status]
-        )
-        
-        clear_btn.click(
-            fn=lambda: [None, None, "Cleared"],
-            outputs=[image_input, output_video, status]
-        )
-        
-        # Example images
-        gr.Markdown("### 📸 Example Images")
-        gr.Examples(
-            examples=[
-                ["https://images.unsplash.com/photo-1494790108755-2616b786d4b9?w=300&h=300&fit=crop"],
-                ["https://images.unsplash.com/photo-1534528741775-53994a69daeb?w=300&h=300&fit=crop"],
-                ["https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?w=300&h=300&fit=crop"],
-            ],
-            inputs=[image_input],
-            outputs=[output_video, status],
-            fn=process_demo,
-            cache_examples=True
-        )
-    
-    return demo
-
-# Launch the interface
-if __name__ == "__main__":
-    print("Launching Gradio interface...")
-    demo = create_demo_interface()
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=False,
-        debug=False
-    )